A World without Measles and Rubella: Addressing the Challenge of Vaccine Hesitancy.

The worldwide elimination of measles and rubella is feasible, but not without overcoming the substantial challenge of vaccine hesitancy. This challenge is complicated by the spread of misinformation and disinformation fueled by rapidly progressing technologies and evolving forms of online communication. The recent COVID-19 pandemic has only added further complexity to this challenge. However, considerable progress has been made in understanding the scope of the problem and the complex factors that influence vaccine hesitancy. Our understanding of evidence-based strategies for addressing vaccine hesitancy has grown significantly, including evidence for effective communication and behavioral interventions. In this article, we review measles and rubella vaccines and vaccine hesitancy. We then provide an overview of evidence-based strategies for addressing vaccine hesitancy, including communication strategies and behavioral interventions. This article is relevant to healthcare professionals, health system leaders, public health professionals, policymakers, community leaders, and any individuals who have a role in addressing vaccine hesitancy in their communities. Finally, we review future directions and major areas of research need.

Mitral regurgitation assessment by cardiovascular magnetic resonance imaging during continuous in-scanner exercise: a feasibility study.

PURPOSE: Exercise imaging using current modalities can be challenging. This was patient focused study to establish the feasibility and reproducibility of exercise-cardiovascular magnetic resonance imaging (EX-CMR) acquired during continuous in-scanner exercise in asymptomatic patients with primary mitral regurgitation (MR). METHODS: This was a prospective, feasibility study. Biventricular volumes/function, aortic flow volume, MR volume (MR-Rvol) and regurgitant fraction (MR-RF) were assessed at rest and during low- (Low-EX) and moderate-intensity exercise (Mod-EX) in asymptomatic patients with primary MR. RESULTS: Twenty-five patients completed EX-CMR without complications. Whilst there were no significant changes in the left ventricular (LV) volumes, there was a significant increase in the LVEF (rest 63 ± 5% vs. Mod-EX 68 ± 6%;p = 0.01). There was a significant reduction in the right ventricular (RV) end-systolic volume (rest 68 ml(60-75) vs. Mod-EX 46 ml(39-59);p < 0.001) and a significant increase in the RV ejection fraction (rest 55 ± 5% vs. Mod-EX 65 ± 8%;p < 0.001). Whilst overall, there were no significant group changes in the MR-Rvol and MR-RF, individual responses were variable, with MR-Rvol increasing by ≥ 15 ml in 4(16%) patients and decreasing by ≥ 15 ml in 9(36%) of patients. The intra- and inter-observer reproducibility of LV volumes and aortic flow measurements were excellent, including at Mod-EX. CONCLUSION: EX-CMR is feasible and reproducible in patients with primary MR. During exercise, there is an increase in the LV and RV ejection fraction, reduction in the RV end-systolic volume and a variable response of MR-Rvol and MR-RF. Understanding the individual variability in MR-Rvol and MR-RF during physiological exercise may be clinically important.

4D Flow Cardiac MR in Primary Mitral Regurgitation.

BACKGROUND: Four-dimensional-flow cardiac MR (4DF-MR) offers advantages in primary mitral regurgitation. The relationship between 4DF-MR-derived mitral regurgitant volume (MR-Rvol) and the post-operative left ventricular (LV) reverse remodeling has not yet been established. PURPOSE: To ascertain if the 4DF-MR-derived MR-Rvol correlates with the LV reverse remodeling in primary mitral regurgitation. STUDY TYPE: Prospective, single-center, two arm, interventional vs. nonintervention observational study. POPULATION: Forty-four patients (male N = 30; median age 68 [59-75]) with at least moderate primary mitral regurgitation; either awaiting mitral valve surgery (repair [MVr], replacement [MVR]) or undergoing "watchful waiting" (WW). FIELD STRENGTH/SEQUENCE: 5 T/Balanced steady-state free precession (bSSFP) sequence/Phase contrast imaging/Multishot echo-planar imaging pulse sequence (five shots). ASSESSMENT: Patients underwent transthoracic echocardiography (TTE), phase-contrast MR (PMRI), 4DF-MR and 6-minute walk test (6MWT) at baseline, and a follow-up PMRI and 6MWT at 6 months. MR-Rvol was quantified by PMRI, 4DF-MR, and TTE by one observer. The pre-operative MR-Rvol was correlated with the post-operative decrease in the LV end-diastolic volume index (LVEDVi). STATISTICAL TESTS: Included Student t-test/Mann-Whitney test/Fisher's exact test, Bland-Altman plots, linear regression analysis and receiver operating characteristic curves. Statistical significance was defined as P < 0.05. RESULTS: While Bland-Altman plots demonstrated similar bias between all the modalities, the limits of agreement were narrower between 4DF-MR and PMRI (bias 15; limits of agreement -36 mL to 65 mL), than between 4DF-MR and TTE (bias -8; limits of agreement -106 mL to 90 mL) and PMRI and TTE (bias -23; limits of agreement -105 mL to 59 mL). Linear regression analysis demonstrated a significant association between the MR-Rvol and the post-operative decrease in the LVEDVi, when the MR-Rvol was quantified by PMRI and 4DF-MR, but not by TTE (P = 0.73). 4DF-MR demonstrated the best diagnostic performance for reduction in the post-operative LVEDVi with the largest area under the curve (4DF-MR 0.83; vs. PMRI 0.78; and TTE 0.51; P = 0.89). DATA CONCLUSION: This study demonstrates the potential clinical utility of 4DF-MR in the assessment of primary mitral regurgitation. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 5.

The COVID-19 Pandemic and Parental Attitudes Toward Routine Childhood Vaccines.

BACKGROUND AND OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic may have impacted parental attitudes toward childhood vaccines. However, few data sources followed attitudes before and after onset of the pandemic. We used data from a parental survey to describe the effect of the pandemic on parental attitudes toward childhood vaccines. METHODS: Data were analyzed from the Health eMoms survey which randomly sampled birthing parents in Colorado from 2018 to 2021 on several health topics including vaccine hesitancy. Population weighted multivariable regression was used to measure the association between overall vaccine hesitancy and 5 individual hesitancy questions and different COVID-19 pandemic periods: prepandemic (April 2018-February 2020); pandemic prevaccine (April 2020-December 2020); and pandemic postvaccine (January 2021-August 2021), adjusting for demographic factors. RESULTS: Overall, 20.4% (726/3553) of respondents were vaccine hesitant. Vaccine hesitancy during pandemic time periods was not different from the prepandemic period (prevaccine adjusted odds ratio [aOR] = 0.82, 95% confidence interval [CI] = 0.65-1.04; postvaccine aOR = 1.07, 95% CI = 0.85-1.34). In analyses of individual hesitancy questions, parents were more likely to be unsure about trusting vaccine information in the pandemic postvaccine time period compared with the prepandemic period (aOR = 2.14; 95% CI = 1.55-2.96), and less likely to be unsure about their hesitancy toward childhood vaccines (aOR = 0.48; 95% CI = 0.27-0.84). CONCLUSIONS: The COVID-19 pandemic was not associated with changes in parental vaccine hesitancy overall, although there were changes in trust about vaccine information and a polarization of vaccination attitudes.

Evaluation of the Impact and Outcomes of a Rapid Transition to Telehealth PrEP Delivery at a Sexual Health Clinic During the COVID-19 Pandemic.

BACKGROUND: Increasing human immunodeficiency virus (HIV) preexposure prophylaxis (PrEP) use is a critical part of ending the HIV epidemic. In response to the COVID-19 pandemic, many PrEP services transitioned to a telehealth model (telePrEP). This report evaluates the effect of COVID-19 and the addition of telePrEP on delivery of PrEP services at the Denver Sexual Health Clinic (DSHC), a regional sexual health clinic in Denver, CO. METHODS: Before COVID-19, DSHC PrEP services were offered exclusively in-clinic. In response to the pandemic, after March 15, 2020, most PrEP initiation and follow-up visits were converted to telePrEP. A retrospective analysis of DSHC PrEP visits compared pre-COVID-19 (September 1, 2019 to March 15, 2020) to post-COVID-19 (March 16, 2020 to September 30, 2020) visit volume, demographics, and outcomes. RESULTS: The DSHC completed 689 PrEP visits pre-COVID-19 and maintained 96.8% (n = 667) of this volume post-COVID-19. There were no differences in client demographics between pre-COVID-19 (n = 341) and post-COVID-19 PrEP start visits (n = 283) or between post-COVID-19 in-clinic (n = 140) vs telePrEP start visits (n = 143). There were no differences in 3- to 4-month retention rates pre-COVID-19 (n = 17/43) and post-COVID-19 (n = 21/43) ( P = 0.52) or between in-clinic (n = 12/21) and telePrEP clients (n = 9/22) in the post-COVID-19 window ( P = 0.37). Also, there were no significant differences in lab completion rates between in-clinic (n = 140/140) and telePrEP clients (n = 138/143) ( P = 0.06) and prescription fill rates between in-clinic (n = 115/136) and telePrEP clients (n = 116/135) in the post-COVID-19 window ( P = 0.86). CONCLUSIONS: Implementation of TelePrEP enabled the DSHC to sustain PrEP services during the COVID-19 pandemic without significant differences in demographics, engagement, or retention in PrEP services.

Analysis and Visualization of Longitudinal Genomic and Clinical Data from the AACR Project GENIE Biopharma Collaborative in cBioPortal.

International cancer registries make real-world genomic and clinical data available, but their joint analysis remains a challenge. AACR Project GENIE, an international cancer registry collecting data from 19 cancer centers, makes data from >130,000 patients publicly available through the cBioPortal for Cancer Genomics (https://genie.cbioportal.org). For 25,000 patients, additional real-world longitudinal clinical data, including treatment and outcome data, are being collected by the AACR Project GENIE Biopharma Collaborative using the PRISSMM data curation model. Several thousand of these cases are now also available in cBioPortal. We have significantly enhanced the functionalities of cBioPortal to support the visualization and analysis of this rich clinico-genomic linked dataset, as well as datasets generated by other centers and consortia. Examples of these enhancements include (i) visualization of the longitudinal clinical and genomic data at the patient level, including timelines for diagnoses, treatments, and outcomes; (ii) the ability to select samples based on treatment status, facilitating a comparison of molecular and clinical attributes between samples before and after a specific treatment; and (iii) survival analysis estimates based on individual treatment regimens received. Together, these features provide cBioPortal users with a toolkit to interactively investigate complex clinico-genomic data to generate hypotheses and make discoveries about the impact of specific genomic variants on prognosis and therapeutic sensitivities in cancer. SIGNIFICANCE: Enhanced cBioPortal features allow clinicians and researchers to effectively investigate longitudinal clinico-genomic data from patients with cancer, which will improve exploration of data from the AACR Project GENIE Biopharma Collaborative and similar datasets.

Cardiac reverse remodeling in primary mitral regurgitation: mitral valve replacement vs. mitral valve repair.

BACKGROUND: When feasible, guidelines recommend mitral valve repair (MVr) over mitral valve replacement (MVR) to treat primary mitral regurgitation (MR), based upon historic outcome studies and transthoracic echocardiography (TTE) reverse remodeling studies. Cardiovascular magnetic resonance (CMR) offers reference standard biventricular assessment with superior MR quantification compared to TTE. Using serial CMR in primary MR patients, we aimed to investigate cardiac reverse remodeling and residual MR post-MVr vs MVR with chordal preservation. METHODS: 83 patients with ≥ moderate-severe MR on TTE were prospectively recruited. 6-min walk tests (6MWT) and CMR imaging including cine imaging, aortic/pulmonary through-plane phase contrast imaging, T1 maps and late-gadolinium-enhanced (LGE) imaging were performed at baseline and 6 months after mitral surgery or watchful waiting (control group). RESULTS: 72 patients completed follow-up (Controls = 20, MVr = 30 and MVR = 22). Surgical groups demonstrated comparable baseline cardiac indices and co-morbidities. At 6-months, MVr and MVR groups demonstrated comparable improvements in 6MWT distances (+ 57 ± 54 m vs + 64 ± 76 m respectively, p = 1), reduced indexed left ventricular end-diastolic volumes (LVEDVi; - 29 ± 21 ml/m2 vs - 37 ± 22 ml/m2 respectively, p = 0.584) and left atrial volumes (- 23 ± 30 ml/m2 and - 39 ± 26 ml/m2 respectively, p = 0.545). At 6-months, compared with controls, right ventricular ejection fraction was poorer post-MVr (47 ± 6.1% vs 53 ± 8.0% respectively, p = 0.01) compared to post-MVR (50 ± 5.7% vs 53 ± 8.0% respectively, p = 0.698). MVR resulted in lower residual MR-regurgitant fraction (RF) than MVr (12 ± 8.0% vs 21 ± 11% respectively, p = 0.022). Baseline and follow-up indices of diffuse and focal myocardial fibrosis (Native T1 relaxation times, extra-cellular volume and quantified LGE respectively) were comparable between groups. Stepwise multiple linear regression of indexed variables in the surgical groups demonstrated baseline indexed mitral regurgitant volume as the sole multivariate predictor of left ventricular (LV) end-diastolic reverse remodelling, baseline LVEDVi as the most significant independent multivariate predictor of follow-up LVEDVi, baseline indexed LV end-systolic volume as the sole multivariate predictor of follow-up LV ejection fraction and undergoing MVR (vs MVr) as the most significant (p < 0.001) baseline multivariate predictor of lower residual MR. CONCLUSION: In primary MR, MVR with chordal preservation may offer comparable cardiac reverse remodeling and functional benefits at 6-months when compared to MVr. Larger, multicenter CMR studies are required, which if the findings are confirmed could impact future surgical practice.

Planned Out-of-Hospital Birth as a Risk Factor for Nonreceipt of Hepatitis B Immunization.

BACKGROUND: The hepatitis B vaccine (HBV) is recommended at birth to prevent perinatal hepatitis B transmission; however, many newborns still do not receive HBV. The extent to which planned out-of-hospital births, which have increased over the past decade, are associated with nonreceipt of the HBV birth dose is unknown. The purpose of this study was to determine whether a planned out-of-hospital birth location is associated with the nonreceipt of the HBV birth dose. METHODS: We performed a retrospective cohort study of all births from 2007 to 2019 recorded in the Colorado birth registry. χ2 analyses were used to compare maternal demographics by birth location. Univariate and multiple logistic regression were used to evaluate the association of birth location with nonreceipt of the HBV birth dose. RESULTS: In total 1.5% of neonates born in freestanding birth centers and 0.1% of neonates born at a planned home birth received HBV compared to 76.3% of neonates born in a hospital location. After adjusting for confounders, this translated to a large increase in the odds of not receiving HBV compared to in-hospital births [freestanding birth center (aodds ratio (aOR): 172.98, 95% confidence interval (CI): 136.98-219.88); planned home birth (aOR: 502.05, 95% CI: 363.04-694.29)]. Additionally, older maternal age, White/non-Hispanic race and ethnicity, higher income, and private or no insurance were associated with nonreceipt of the HBV birth dose. CONCLUSIONS: Planned out-of-hospital birth is a risk factor for nonreceipt of the HBV birth dose. As births in these locations become more common, targeted policies and education are warranted.

Validation of Artificial Intelligence Containing Products Across the Regulated Healthcare Industries.

PURPOSE: The introduction of artificial intelligence / machine learning (AI/ML) products to the regulated fields of pharmaceutical research and development (R&D) and drug manufacture, and medical devices (MD) and in vitro diagnostics (IVD), poses new regulatory problems: a lack of a common terminology and understanding leads to confusion, delays and product failures. Validation as a key step in product development, common to each of these sectors including computerized systems and AI/ML development, offers an opportune point of comparison for aligning people and processes for cross-sectoral product development. METHODS: A comparative approach, built upon workshops and a subsequent written sequence of exchanges, is summarized in a look-up table suitable for mixed-teams work. RESULTS: 1. A bottom-up, definitions led, approach which leads to a distinction between broad vs narrow validation, and their relationship to regulatory regimes. 2. Common basis introduction to the primary methodologies for software validation, including AI-containing software validation. 3. Pharmaceutical drug development and MD/IVD-specific perspectives on compliant AI software development, as a basis for collaboration. CONCLUSIONS: Alignment of the terms and methodologies used in validation of software products containing artificial intelligence/machine learning (AI/ML) components across the regulated industries of human health is a vital first step in streamlining processes and improving workflows.

Prevention of Perinatal Hepatitis B Transmission.

Hepatitis B virus (HBV) is efficiently transmitted to newborn infants in the perinatal period and can lead to chronic infection, cirrhosis, liver cancer, and death. Despite the availability of effective prevention measures necessary to eliminate perinatal HBV transmission, significant gaps remain in the implementation of these prevention measures. All clinicians who care for pregnant persons and their newborn infants need to know the key prevention measures including (1) identification of HBV surface antigen (HBsAg)-positive pregnant persons, (2) antiviral treatment of HBsAg-positive pregnant persons with high viral loads, (3) timely postexposure prophylaxis of infants born to HBsAg-positive persons, (4) and timely universal vaccination of newborn infants.

Evaluation of a Statewide Online, At-Home Sexually Transmitted Infection and Human Immunodeficiency Virus Screening Program.

BACKGROUND: Innovative approaches such as online, at-home programs may address important barriers to sexually transmitted infection (STI) and human immunodeficiency virus (HIV) screening in the United States. This study evaluated the first year of an online, at-home program offering HIV and triple-site (urogenital, rectal, and pharyngeal) gonorrhea (GC) and chlamydia (CT) testing in Colorado. METHODS: Test Yourself Colorado (TYC) is an online, at-home program that provides free mailed HIV tests and/or GC/CT tests to Colorado adults. Program use and outcomes between 1 June 2021 and 31 May 2022 were analyzed. RESULTS: A total of 1790 unique clients utilized TYC. Of 1709 clients who ordered HIV tests, 508 (29.7%) were men who have sex with men (MSM), and 41.3% (210/508) of these clients reported having never been tested for HIV before or were not tested in the prior year. Hispanic clients had lower STI test return rates (37.1%; 134/361) compared with non-Hispanic clients (45.9%; 518/1128) (P = .003). Positive STI tests were identified in 9.6% (68/708) of clients. Positive STI tests were more common in MSM clients (15.7%; 34/216) compared with all other sexual orientations (6.9%; 34/492) (P < .001). STI treatment was confirmed in 80.9% (55/68) of clients. CONCLUSIONS: The TYC online, home testing portal is a scalable tool that reaches clients at risk of STIs and HIV and navigates those with positive STI tests to treatment. HIV/STI home testing programs need to further assess and address utilization and outcomes for disparities by race and ethnicity to assure programs equitably benefit all at-risk communities.

Midsubstance Vastus Lateralis Tear in the Young Athlete: Case Report and a Review of the Literature.

ABSTRACT: Vastus lateralis tendon tear is an infrequent cause of lateral knee pain. Previously reported cases have described acute injury in middle-aged men after eccentric quadriceps contraction. This case report discusses 2 adolescent patients with longitudinal midsubstance tears diagnosed with MRI and dynamic ultrasound and treated successfully with operative intervention.

The children's brain tumor network (CBTN) - Accelerating research in pediatric central nervous system tumors through collaboration and open science.

Pediatric brain tumors are the leading cause of cancer-related death in children in the United States and contribute a disproportionate number of potential years of life lost compared to adult cancers. Moreover, survivors frequently suffer long-term side effects, including secondary cancers. The Children's Brain Tumor Network (CBTN) is a multi-institutional international clinical research consortium created to advance therapeutic development through the collection and rapid distribution of biospecimens and data via open-science research platforms for real-time access and use by the global research community. The CBTN's 32 member institutions utilize a shared regulatory governance architecture at the Children's Hospital of Philadelphia to accelerate and maximize the use of biospecimens and data. As of August 2022, CBTN has enrolled over 4700 subjects, over 1500 parents, and collected over 65,000 biospecimen aliquots for research. Additionally, over 80 preclinical models have been developed from collected tumors. Multi-omic data for over 1000 tumors and germline material are currently available with data generation for > 5000 samples underway. To our knowledge, CBTN provides the largest open-access pediatric brain tumor multi-omic dataset annotated with longitudinal clinical and outcome data, imaging, associated biospecimens, child-parent genomic pedigrees, and in vivo and in vitro preclinical models. Empowered by NIH-supported platforms such as the Kids First Data Resource and the Childhood Cancer Data Initiative, the CBTN continues to expand the resources needed for scientists to accelerate translational impact for improved outcomes and quality of life for children with brain and spinal cord tumors.

Rationale and clinical applications of 4D flow cardiovascular magnetic resonance in assessment of valvular heart disease: a comprehensive review.

BACKGROUND: Accurate evaluation of valvular pathology is crucial in the timing of surgical intervention. Whilst transthoracic echocardiography is widely available and routinely used in the assessment of valvular heart disease, it is bound by several limitations. Although cardiovascular magnetic resonance (CMR) imaging can overcome many of the challenges encountered by echocardiography, it also has a number of limitations. MAIN TEXT: 4D Flow CMR is a novel technique, which allows time-resolved, 3-dimensional imaging. It enables visualisation and direct quantification of flow and peak velocities of all valves simultaneously in one simple acquisition, without any geometric assumptions. It also has the unique ability to measure advanced haemodynamic parameters such as turbulent kinetic energy, viscous energy loss rate and wall shear stress, which may add further diagnostic and prognostic information. Although 4D Flow CMR acquisition can take 5-10 min, emerging acceleration techniques can significantly reduce scan times, making 4D Flow CMR applicable in contemporary clinical practice. CONCLUSION: 4D Flow CMR is an emerging CMR technique, which has the potential to become the new reference-standard method for the evaluation of valvular lesions. In this review, we describe the clinical applications, advantages and disadvantages of 4D Flow CMR in the assessment of valvular heart disease.

Is It so Severe for Social Entrepreneurship in a Transitional Economy? The Role of Work-Related Wellbeing and Political Connection in Shaping the Exit Intention.

In the context of a transitional economy, there are much more studies with a heroic characterization of social entrepreneurs, whereas there is limited exploration of their less positive stories. A range of studies tried to address this issue, although very few delved into the "inner layer" (work-related mental health) to unveil the mechanism of how social entrepreneurs develop their intention to quit their businesses. With a sample of 196 social business owners from China, this research focuses on the prosocial motivation of social entrepreneurs as well as its impacts on their work-related wellbeing and thus their business exit intention. With the partial least squares structural equation modeling, this research finds that prosocial motivation decreased entrepreneurs' partial work-related wellbeing, increasing their exit intention, and the mediating effects among the three components of work-related wellbeing were different. Furthermore, this research finds that work-related wellbeing's impact on exit intention was largely stronger for the social entrepreneurs without political connections.

More Prosocial, More Ephemeral? Exploring the Formation of a Social Entrepreneur's Exit Intention via Life Satisfaction.

This study was designed to test if satisfaction with health and personal financial wellbeing mediates the relationship between prosocial motivations and exit intentions among social entrepreneurs. Using a sample of 317 social entrepreneurs, the partial least square structural equation modeling (PLS-SEM) revealed that prosocial motivation decreased the financial satisfaction of entrepreneurs, which increased their exit intentions. However, health satisfaction did not have a mediating effect on the relationship between prosocial motivation and exit intention. Moreover, adopting the multi-group analysis (MGA) technique, we found that the negative impact of prosocial motivation on financial satisfaction was stronger for males than for females, suggesting male entrepreneurs were more likely to experience lower financial satisfaction caused by prosocial motivation than female entrepreneurs. There was no evidence that gender moderated the relationship between prosocial motivation and health satisfaction.

More Prosocial, More Ephemeral? The Role of Work-Related Wellbeing and Gender in Incubating Social Entrepreneurs' Exit Intention.

Why does social entrepreneurship tend to live so shortly? A range of studies tried to answer this question, although very few delved into the "inner layer" (psychological status) to unveil how social entrepreneurs decide to quit. Accordingly, focusing on prosocial motivation of social entrepreneurs and its impact on their work-related wellbeing and then their business exit intention, we conducted this empirical research. Furthermore, gender differences are involved based on relevant calls for in-depth investigation. With a sample of 301 respondents in China, deploying the partial least square structural equation modeling (PLS-SEM), we found prosocial motivation decreases entrepreneurs' work-related wellbeing, which in turn, increases entrepreneurial exit intention. Furthermore, adopting the multi-group analysis (MGA) technique, we uncovered that the impact of prosocial motivation on work-related wellbeing largely is stronger for males. Our research thus contributes to the growing research and knowledge on social entrepreneurship in terms of individual personality traits and how they impact a social entrepreneur's psychological status and thus their intention of exiting the social business. This study's further theoretical and practical implications, as well as its limitations and thus future research directions, are discussed at the end.

A machine-learning-based algorithm improves prediction of preeclampsia-associated adverse outcomes.

BACKGROUND: Preeclampsia presents a highly prevalent burden on pregnant women with an estimated incidence of 2% to 5%. Preeclampsia increases the maternal risk of death 20-fold and is one of the main causes of perinatal morbidity and mortality. Novel biomarkers, such as soluble fms-like tyrosine kinase-1 and placental growth factor in addition to a wide span of conventional clinical data (medical history, physical symptoms, laboratory parameters, etc.), present an excellent basis for the application of early-detection machine-learning models. OBJECTIVE: This study aimed to develop, train, and test an automated machine-learning model for the prediction of adverse outcomes in patients with suspected preeclampsia. STUDY DESIGN: Our real-world dataset of 1647 (2472 samples) women was retrospectively recruited from women who presented to the Department of Obstetrics at the Charité - Universitätsmedizin Berlin, Berlin, Germany, between July 2010 and March 2019. After standardization and data cleaning, we calculated additional features regarding the biomarkers soluble fms-like tyrosine kinase-1 and placental growth factor and sonography data (umbilical artery pulsatility index, middle cerebral artery pulsatility index, mean uterine artery pulsatility index), resulting in a total of 114 features. The target metric was the occurrence of adverse outcomes throughout the remaining pregnancy and 2 weeks after delivery. We trained 2 different models, a gradient-boosted tree and a random forest classifier. Hyperparameter training was performed using a grid search approach. All results were evaluated via a 10 × 10-fold cross-validation regimen. RESULTS: We obtained metrics for the 2 naive machine-learning models. A gradient-boosted tree model was performed with a positive predictive value of 88%±6%, a negative predictive value of 89%±3%, a sensitivity of 66%±5%, a specificity of 97%±2%, an overall accuracy of 89%±3%, an area under the receiver operating characteristic curve of 0.82±0.03, an F1 score of 0.76±0.04, and a threat score of 0.61±0.05. The random forest classifier returned an equal positive predictive value (88%±6%) and specificity (97%±1%) while performing slightly inferior on the other available metrics. Applying differential cutoffs instead of a naive cutoff for positive prediction at ≥0.5 for the classifier's results yielded additional increases in performance. CONCLUSION: Machine-learning techniques were a valid approach to improve the prediction of adverse outcomes in pregnant women at high risk of preeclampsia vs current clinical standard techniques. Furthermore, we presented an automated system that did not rely on manual tuning or adjustments.